Abstract: Long-term hydropower operation is a complex optimization problem, as the uncertainty of natural inflow should be considered. Sampling stochastic dynamic programming (SSDP) is a method that ...

Stochastic oscillator measures stock momentum, aiding buy or sell decisions. It ranges 0-100; over 80 suggests overbought, below 20 indicates oversold. Use alongside other indicators to enhance ...

This document describes the technical needs that have given rise to a Fund’s technical assistance (TA) project for the development of a customized structural micro-founded (DSGE) model in the Ministry ...

1 Department of Statistics and Mathematics, Bindura University of Science Education, Bindura, Zimbabwe 2 Department of Mathematics, University of Botswana, Gaborone, Botswana This study develops a ...

This is an mini-course on "Deep Learning for Solving Dynamic Stochastic Models", held from Wednesday, May 22nd, 2024 2 - Friday, May 24th, 2024 at Central-German Doctoral Program Economics, University ...

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...

Abstract: This paper introduces MOP, a development that implements the first application of Stochastic Dual Dynamic Programming (SDDP) for optimization of the Uruguayan power system. The study ...

This guide aims to demystify SDF, shedding light on its function, calculation, and application in various financial contexts. What is Stochastic Discount Factor? The Stochastic Discount Factor, at its ...

1 Department of Mathematic, Mongolian University of Science and Technology, Ulaanbaatar, Mongolia 2 Department of Economics, University of Finance and Economics, Ulaanbaatar, Mongolia We consider a ...